FR3086884B1 - DOCUMENTARY FRAUD DETECTION PROCESS. - Google Patents
DOCUMENTARY FRAUD DETECTION PROCESS. Download PDFInfo
- Publication number
- FR3086884B1 FR3086884B1 FR1859345A FR1859345A FR3086884B1 FR 3086884 B1 FR3086884 B1 FR 3086884B1 FR 1859345 A FR1859345 A FR 1859345A FR 1859345 A FR1859345 A FR 1859345A FR 3086884 B1 FR3086884 B1 FR 3086884B1
- Authority
- FR
- France
- Prior art keywords
- document
- image
- fraud
- documentary
- parts
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title abstract 3
- 238000001514 detection method Methods 0.000 title 1
- 238000005259 measurement Methods 0.000 abstract 1
Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/206—Matching template patterns
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/80—Recognising image objects characterised by unique random patterns
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2016—Testing patterns thereon using feature extraction, e.g. segmentation, edge detection or Hough-transformation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Multimedia (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Image Analysis (AREA)
- Facsimile Image Signal Circuits (AREA)
Abstract
Procédé de détection d'une fraude documentaire comprenant : obtenir (50) une première image d'un premier document et une deuxième image d'un deuxième document ; déterminer dans la première et la deuxième image des régions contenant respectivement le premier et le deuxième document ; appliquer (53) une procédure de détection de zones sensibles à des fraudes documentaires dans les régions de la première image et de la deuxième image recalée sur la première image ; diviser (55) chaque zone sensible détectée en une pluralité de sous-parties ; calculer une mesure de dissimilarité entre des sous-parties correspondantes de la première et de la deuxième image recalée; déterminer si le premier document est identique au deuxième document à partir des mesures de dissimilarité et si le premier document est différent du deuxième document, déterminer un niveau de différence entre le premier et le deuxième document en fonction d'une valeur représentative d'une proportion de sous-parties différentes ; et, détecter une fraude lorsque le niveau de différence est inférieur à un seuil prédéterminé.A method of detecting document fraud comprising: obtaining (50) a first image of a first document and a second image of a second document; determining in the first and second image regions respectively containing the first and second document; applying (53) a procedure for detecting areas sensitive to documentary fraud in the regions of the first image and of the second image registered on the first image; dividing (55) each detected sensitive area into a plurality of sub-parts; calculating a measure of dissimilarity between corresponding sub-parts of the first and of the second registered image; determine if the first document is identical to the second document from the dissimilarity measurements and if the first document is different from the second document, determine a level of difference between the first and the second document based on a value representative of a proportion different sub-parts; and, detecting fraud when the level of difference is less than a predetermined threshold.
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1859345A FR3086884B1 (en) | 2018-10-09 | 2018-10-09 | DOCUMENTARY FRAUD DETECTION PROCESS. |
US16/585,548 US10936866B2 (en) | 2018-10-09 | 2019-09-27 | Method for detecting document fraud |
EP19201481.9A EP3637379B1 (en) | 2018-10-09 | 2019-10-04 | Method and apparatus for detecting fradulent documents |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1859345A FR3086884B1 (en) | 2018-10-09 | 2018-10-09 | DOCUMENTARY FRAUD DETECTION PROCESS. |
Publications (2)
Publication Number | Publication Date |
---|---|
FR3086884A1 FR3086884A1 (en) | 2020-04-10 |
FR3086884B1 true FR3086884B1 (en) | 2020-11-27 |
Family
ID=65861359
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
FR1859345A Active FR3086884B1 (en) | 2018-10-09 | 2018-10-09 | DOCUMENTARY FRAUD DETECTION PROCESS. |
Country Status (3)
Country | Link |
---|---|
US (1) | US10936866B2 (en) |
EP (1) | EP3637379B1 (en) |
FR (1) | FR3086884B1 (en) |
Families Citing this family (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102016000011A1 (en) * | 2016-01-05 | 2017-07-06 | Giesecke & Devrient Gmbh | Completeness check of a value document |
US11113689B2 (en) | 2019-07-03 | 2021-09-07 | Sap Se | Transaction policy audit |
US11308492B2 (en) * | 2019-07-03 | 2022-04-19 | Sap Se | Anomaly and fraud detection with fake event detection using pixel intensity testing |
US12039615B2 (en) | 2019-07-03 | 2024-07-16 | Sap Se | Anomaly and fraud detection with fake event detection using machine learning |
US11227153B2 (en) * | 2019-12-11 | 2022-01-18 | Optum Technology, Inc. | Automated systems and methods for identifying fields and regions of interest within a document image |
US11210507B2 (en) | 2019-12-11 | 2021-12-28 | Optum Technology, Inc. | Automated systems and methods for identifying fields and regions of interest within a document image |
EP3885989A1 (en) * | 2020-03-26 | 2021-09-29 | Another Brain | Anomaly detection based on an autoencoder and clustering |
CN113344000A (en) * | 2021-06-29 | 2021-09-03 | 南京星云数字技术有限公司 | Certificate copying and recognizing method and device, computer equipment and storage medium |
JP7212207B1 (en) * | 2021-07-28 | 2023-01-24 | 楽天グループ株式会社 | Image processing system, image processing method, and program |
US11872832B2 (en) * | 2021-12-22 | 2024-01-16 | Idemia Identity & Security France | Texture-based authentication of digital identity documents |
US12002054B1 (en) * | 2022-11-29 | 2024-06-04 | Stripe, Inc. | Systems and methods for identity document fraud detection |
US11961315B1 (en) * | 2023-12-05 | 2024-04-16 | Daon Technology | Methods and systems for enhancing detection of a fraudulent identity document in an image |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4554358B2 (en) * | 2002-05-14 | 2010-09-29 | メディアセック テクノロジーズ ゲーエムべーハー | Visible authentication pattern for printed documents |
US8260061B2 (en) * | 2007-09-21 | 2012-09-04 | Sharp Kabushiki Kaisha | Image data output processing apparatus and image data output processing method |
JP4486987B2 (en) * | 2007-09-26 | 2010-06-23 | シャープ株式会社 | Image data output processing apparatus, image data output processing method, program, and recording medium |
FR2952738B1 (en) * | 2009-11-17 | 2012-01-13 | Advestigo | METHOD AND SYSTEM FOR AUTOMATICALLY CONTROL AND AUTHENTICITY OF IDENTITY DOCUMENT |
CN102890840B (en) * | 2012-08-22 | 2016-03-23 | 山东新北洋信息技术股份有限公司 | Banknote discriminating method and device |
US20160210621A1 (en) * | 2014-12-03 | 2016-07-21 | Sal Khan | Verifiable credentials and methods thereof |
FR3047688B1 (en) | 2016-02-11 | 2018-02-16 | Morpho | METHOD OF SECURING AND VERIFYING A DOCUMENT |
FR3064782B1 (en) * | 2017-03-30 | 2019-04-05 | Idemia Identity And Security | METHOD FOR ANALYZING A STRUCTURAL DOCUMENT THAT CAN BE DEFORMED |
RU2668717C1 (en) * | 2017-12-13 | 2018-10-02 | Общество с ограниченной ответственностью "Аби Продакшн" | Generation of marking of document images for training sample |
-
2018
- 2018-10-09 FR FR1859345A patent/FR3086884B1/en active Active
-
2019
- 2019-09-27 US US16/585,548 patent/US10936866B2/en active Active
- 2019-10-04 EP EP19201481.9A patent/EP3637379B1/en active Active
Also Published As
Publication number | Publication date |
---|---|
EP3637379B1 (en) | 2021-04-21 |
US10936866B2 (en) | 2021-03-02 |
US20200110932A1 (en) | 2020-04-09 |
EP3637379A1 (en) | 2020-04-15 |
FR3086884A1 (en) | 2020-04-10 |
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